Jonathan Macoskey

Head Of Machine Learning at Lovelace

Pittsburgh, Pennsylvania, United States
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Summary

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Senior
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Jonathan Macoskey is Head of Machine Learning with a decade of experience building end-to-end acoustic devices that blend physics, low-level hardware, microphone-array design, signal processing, and data-driven ML. He has led production ML for consumer devices—deploying all-neural ASR to over 10M Echo family devices—and reduced on-device compute by 45% via novel dynamic inference pathways. His background spans applied research (Bosch-NASA SoundSee ISS acoustics), ASIC engineering, and a PhD in Biomedical Engineering and Scientific Computing from the University of Michigan, giving him rare fluency across simulation, hardware, and algorithm development. Jonathan’s work sits at the intersection of signal processing and AI, applied to real-world embedded systems rather than purely cloud-first models. Based in Pittsburgh, he combines scientific rigor with product-minded engineering to move acoustic sensing from lab prototypes to mass-deployed devices.
code10 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Biomedical Engineering and Scientific Computing, Doctor of Philosophy (Ph.D.), Biomedical Engineering and Scientific Computing at University of Michigan
bookBachelor of Science (B.S.), Biomedical Engineering, Bachelor of Science (B.S.), Biomedical Engineering at University of Rochester
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Stackoverflow

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Github Skills (10)

python9
tensorflow9
neural-network9
machine-learning9
deep-learning9
ml8
deep-neural-networks8
react3
javascript2
snap2

Programming languages (3)

TypeScriptC++Verilog

Github contributions (5)

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macoskey/HistotripsyMatlab

Mar 2017 - Mar 2019

Contributions:61 commits, 57 pushes, 1 branch in 2 years 1 month
macoskey/Poseidon

Sep 2018 - Apr 2019

Code base for Project Poseidon
Contributions:11 PRs, 90 pushes, 5 branches in 6 months
base-codeposeidon
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